[云制造]基于可持续性的云制造多任务调度

摘要/Abstract

摘要： 为提高云制造调度过程的可持续性，研究基于可持续性的云制造多任务调度方法，基于面向服务架构理论分析了云制造多任务调度流程和可持续性框架。考虑经济、环境和社会因素，构建了基于可持续性的云制造多任务调度模型，设计了改进的遗传算法以有效解决调度模型的求解问题。通过将基于可持续性调度模型和基于满意度调度模型作对比模拟实验，观察可持续性对云制造多任务调度效果的影响。结果表明，从系统整体优化的角度，基于可持续性的调度模型，能够在不损失客户满意度的前提下，同时降低环境成本和设备闲置率，保障平台整体的可持续运行。

关键词: 云制造, 可持续性, 前景理论, 多任务调度, 遗传算法

Abstract: In order to improve the sustainability of the cloud manufacturing scheduling processes，a multi-task scheduling method was studied based on the sustainability of cloud manufacturing，and a cloud-manufacturing multi-task scheduling process and a sustainability framework were analyzed based on the service-oriented architecture theory.Considering economic，environmental and social factors，a multi-task scheduling model was constructed based on sustainability and an improved genetic algorithm was designed to effectively solve the problems of scheduling model solution.Through the comparison simulation experiments based on the sustainability scheduling model and the satisfaction-based scheduling model，the effects of sustainability on the multi-task scheduling effectiveness of cloud manufacturing was observed.The results show that from the perspective of overall system optimization，the sustainability-based scheduling model may reduce environmental costs and equipment idleness without sacrificing customer satisfaction，and ensure the sustainable operations of the platform as a whole.

Key words: cloud manufacturing, sustainability, prospect theory, multi-task scheduling, genetic algorithm

中图分类号:

C935

何巍, 贾国柱, 孔继利, 宗恒山. [云制造]基于可持续性的云制造多任务调度[J]. 中国机械工程.

HE Wei, JIA Guozhu, KONG Jili, ZONG Hengshan. Sustainability-based Multi-task Scheduling in Cloud Manufacturing[J]. China Mechanical Engineering.

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